{"id":"W1978246685","doi":"10.1109/cjece.2007.4407665","title":"The role of viewing angle in integrating the senses of vision and touch for perception of object softness","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Haptic technology; Computer vision; Perception; Object (grammar); Artificial intelligence; Haptic perception; Computer science; Virtual reality; Stereotaxy; Virtual image; Viewing angle; Depth perception; Visual angle; Visual perception; Human–computer interaction; Computer graphics (images); Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001206723,0.00004476937,0.000109152,0.0001280372,0.00005486303,0.00001565496,0.000062089,0.00002006792,5.769214e-7],"category_scores_gemma":[0.0001992116,0.00002706267,0.00003603478,0.0001549014,0.00002642402,0.00006601729,0.000005076651,0.0001251415,1.294845e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000217783,"about_ca_system_score_gemma":0.00003803528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002046093,"about_ca_topic_score_gemma":0.0003536704,"domain_scores_codex":[0.9995372,0.00001693585,0.000231799,0.00004734059,0.00005343569,0.0001132363],"domain_scores_gemma":[0.9989587,0.0008146322,0.00008641522,0.00003513497,0.00005144008,0.00005369156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004999056,0.0000192993,0.00321056,0.00003575041,0.0000117425,0.000009906298,0.002830887,0.003075762,0.7187536,0.001471818,0.00001853435,0.2705121],"study_design_scores_gemma":[0.0006061318,0.001205541,0.066691,0.0005056696,0.0000332788,0.0006754994,0.001465402,0.5569482,0.3684556,0.0004798839,0.002740719,0.0001930373],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816898,0.0001974951,0.01792208,0.00004658909,0.00007881649,0.00004658771,0.000001146639,0.000001046072,0.00001645952],"genre_scores_gemma":[0.9995457,0.00002920087,0.0003558614,0.00001602948,0.00004725948,3.140457e-7,4.983928e-8,0.000003227081,0.000002348982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5538725,"threshold_uncertainty_score":0.1103584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009674682022593405,"score_gpt":0.2308584722341777,"score_spread":0.2211837902115843,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}